Neural Hashing: The Future of Search

Traditional keyword search engines are fast, but not very accurate. Vector-based search engines are more accurate, but they’re slow by comparison, may scale poorly, and/or are very expensive to operate.

Neuralsearch® is a neural hashing engine — an AI data serving engine that uses neural networks to compress search vectors into hashes that use 1/10th of the RAM and speed up AI-based queries by several orders of magnitude. This allows AI search to be delivered in millisecond timeframes, at scale.

This paper explains how neural hashing works and its implications for search engines.

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